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, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
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turbine blades. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms
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decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across
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problems. A key aim of this PhD is therefore to develop novel IRL algorithms tailored to this setting, capable of extracting hidden reward functions from real-world, imperfect data. This will allow us to ask
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AI-based image segmentation algorithms capable of recognising both common and rare tree species in highly-diverse ecosystems such as the Peruvian Amazon. Working with drone-based imagery and validated
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, autonomous learning agents are likely to take an active role in human society, engaging in daily interaction and collaboration with humans. Developing learning algorithms that enable these agents to produce
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into their training process. By fusing the theoretical rigour of control theory with the flexibility of deep learning, the goal is to develop a new framework to train magnetic control algorithms for tokamak reactors
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extraction? What would be the best choice of solvent? What is the optimal route to recycle the water in the fermentation broth? Answering these questions requires us to develop new design algorithms. It is
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
Landscape Award at the University of Sheffield. This project will develop a Vertical Take-Off Vertical-Landing (VTVL) rocket, also known as a “propulsive lander” or “hopper”. The technologies developed and
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are inherently highly complex. In this research project you will use state of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support